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Automatic observing technology for metal abnormal change based on social network

A social network and automatic observation technology, which is applied in medical data mining, health index calculation, medical informatics, etc., can solve problems such as inability to replace doctor's diagnosis, errors, and drastic fluctuations

Active Publication Date: 2019-06-18
JINAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

2) Psychological test standards: Through representative sampling, establishment of normative samples, test reliability, test validity and standardization of methods, the form of test and evaluation scales can avoid subjective opinions to a certain extent, but there are also errors, which cannot In lieu of a doctor's diagnosis
[0006] However, the personality prediction method based on microblog user behavior provided in the above technical solution still has many shortcomings in actual application, such as it is more inclined to emotion analysis and interest identification rather than personality psychoanalysis, and it has relatively stable personality In comparison, emotional and psychological changes will show more short-term characteristics, manifested in frequent changes in emotion, and people with psychological abnormalities often have severe emotional ups and downs, which needs to be judged comprehensively from multiple dimensions such as content, and long-term observation

Method used

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  • Automatic observing technology for metal abnormal change based on social network
  • Automatic observing technology for metal abnormal change based on social network
  • Automatic observing technology for metal abnormal change based on social network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0086] according to figure 1 A social network-based automatic observation technology for abnormal psychological changes is shown, which specifically includes the following observation and analysis steps:

[0087] Step 1: Data collection. First, the historical data of personal Weibo accounts are collected through web crawlers. The collected data includes the target object’s Weibo content, publishing time, related comments, original Weibo forwarded and emoticons used, and will be collected The received data is stored in the database;

[0088] Step 2: Data processing, classify the microblog data collected in step 1, analyze the microblog content, and mark the interests and hobbies reflected in the microblog according to the content summary, combined with thesaurus and keywords, and use rule-based text The classification method is tagged to get the interests and hobbies reflected in the user's Weibo content. The topic tags include video, music, games, food, travel, shopping, IT d...

Embodiment 2

[0145] The screening process for delineating the psychobehavioral profile is as follows:

[0146] 1) Sort the above indicators according to the percentage from high to low;

[0147] 2) Set the result set Res to an empty set;

[0148] 3) Let i=0, let total be 0%;

[0149] 4) Take the i-th item in the sorting result, and add this item to Res;

[0150] 5) Obtain the corresponding percentage per;

[0151] 6) total=total+per;

[0152] 7) If total<85%, then i=i+1 and turn back to step 4);

[0153] 8) Get the final result Res.

[0154] Finally, it should be stated that:

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Abstract

The invention discloses automatic observing technology for a metal abnormal change based on a social network, wherein the technology relates to the field of metal abnormity detecting technology. The automatic observing technology comprises the following observing analysis steps of data collecting, data processing, constructing a metal behavior contour of an objective target, constructing metal abnormity observers and performing metal abnormity detection discrimination. The metal abnormity observer based on microblog content, the metal abnormity observer based on microblog emotion, the metal abnormity observer based on microblog issuing time, and the metal abnormity observer based on a microblog interaction condition are supplied. According to the automatic observing technology, through long-time continuous microblog content acquisition of the target and performing deep quantified analysis at aspects such as content, time, emotion expression and interaction condition, the mental changeabnormity condition is mastered in time, thereby supplying a basis for in-time execution of necessary guiding and intervention, realizing automation in a whole analysis process, reducing analysis cost, reducing workload of related personnel, and improving analytical determining accuracy.

Description

technical field [0001] The present invention relates to the technical field of psychological anomaly detection, and more specifically, the present invention relates to an automatic observation technology of abnormal psychological changes based on social network. Background technique [0002] The essence of psychological abnormality is the cause, mechanism and psychological structure of abnormal psychology. Psychological abnormalities are structural or functional disorders of the brain or the disorder and distortion of people's reflection of objective reality. They not only reflect abnormalities in personal self-concept and certain abilities, but also reflect adjustment disorders in social interpersonal relationships and personal life. There are many categories of psychological abnormalities. In the classification of mental diseases of the Chinese Medical Association, psychological abnormalities are divided into 10 categories: mental disorders caused by brain organic mental d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/70
CPCY02D10/00
Inventor 龙舜朱蔚恒吴俊婵王会进
Owner JINAN UNIVERSITY
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